Overview

Dataset statistics

Number of variables22
Number of observations988
Missing cells0
Missing cells (%)0.0%
Duplicate rows15
Duplicate rows (%)1.5%
Total size in memory177.5 KiB
Average record size in memory184.0 B

Variable types

DateTime3
TimeSeries6
Numeric13

Timeseries statistics

Number of series6
Time series length988
Starting point2020-01-02 00:00:00
Ending point2024-12-02 00:00:00
Period1 day, 19 hours and 40 minutes
2024-02-29T10:54:58.437716image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:58.614600image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Alerts

Dataset has 15 (1.5%) duplicate rowsDuplicates
humedadMax is highly overall correlated with humedadMediaHigh correlation
humedadMedia is highly overall correlated with humedadMax and 1 other fieldsHigh correlation
humedadMin is highly overall correlated with humedadMediaHigh correlation
radiacion is highly overall correlated with tempMax and 2 other fieldsHigh correlation
tempMax is highly overall correlated with radiacion and 2 other fieldsHigh correlation
tempMedia is highly overall correlated with radiacion and 2 other fieldsHigh correlation
tempMin is highly overall correlated with radiacion and 2 other fieldsHigh correlation
velViento is highly overall correlated with velVientoMaxHigh correlation
velVientoMax is highly overall correlated with velVientoHigh correlation
dia is non stationaryNon stationary
tempMedia is non stationaryNon stationary
tempMax is non stationaryNon stationary
tempMin is non stationaryNon stationary
radiacion is non stationaryNon stationary
dia is seasonalSeasonal
tempMedia is seasonalSeasonal
tempMax is seasonalSeasonal
tempMin is seasonalSeasonal
radiacion is seasonalSeasonal
bateria is highly skewed (γ1 = 22.09936134)Skewed
horMinTempMin has 90 (9.1%) zerosZeros
horMinHumMin has 19 (1.9%) zerosZeros
horMinVelMax has 17 (1.7%) zerosZeros
dirVientoVelMax has 34 (3.4%) zerosZeros
precipitacion has 857 (86.7%) zerosZeros

Reproduction

Analysis started2024-02-29 09:54:25.537650
Analysis finished2024-02-29 09:54:58.341147
Duration32.8 seconds
Software versionydata-profiling vv4.6.4
Download configurationconfig.json

Variables

Date
Date

Distinct973
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
Minimum2020-01-02 00:00:00
Maximum2024-12-02 00:00:00
2024-02-29T10:54:58.779001image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:58.871454image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Price
Numeric time series

Distinct203
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.7166
Minimum28
Maximum538
Zeros0
Zeros (%)0.0%
Memory size15.4 KiB
2024-02-29T10:54:58.992266image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile63
Q182
median107
Q3141
95-th percentile222.3
Maximum538
Range510
Interquartile range (IQR)59

Descriptive statistics

Standard deviation59.095364
Coefficient of variation (CV)0.48953801
Kurtosis7.1816351
Mean120.7166
Median Absolute Deviation (MAD)27
Skewness2.214155
Sum119268
Variance3492.2621
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value6.300112892 × 10-9
2024-02-29T10:54:59.121012image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2024-02-29T10:54:59.429367image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Gap statistics

number of gaps52
min4 days
max4 weeks and 3 days
mean1 week, 5 days and 55 minutes
std1 week, 3 days and 2 minutes
2024-02-29T10:54:59.570222image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
112 20
 
2.0%
66 17
 
1.7%
83 17
 
1.7%
74 16
 
1.6%
89 15
 
1.5%
91 15
 
1.5%
71 14
 
1.4%
77 14
 
1.4%
68 14
 
1.4%
87 14
 
1.4%
Other values (193) 832
84.2%
ValueCountFrequency (%)
28 1
 
0.1%
42 1
 
0.1%
46 1
 
0.1%
47 1
 
0.1%
51 2
 
0.2%
52 1
 
0.1%
53 2
 
0.2%
54 4
 
0.4%
55 1
 
0.1%
56 11
1.1%
ValueCountFrequency (%)
538 1
0.1%
486 1
0.1%
389 1
0.1%
376 1
0.1%
375 1
0.1%
365 1
0.1%
349 1
0.1%
343 1
0.1%
338 1
0.1%
336 1
0.1%
2024-02-29T10:54:59.228139image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ACF and PACF

fecha
Date

Distinct953
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
Minimum2020-01-02 00:00:00
Maximum2024-02-13 00:00:00
2024-02-29T10:54:59.735745image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:59.841925image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

dia
Numeric time series

NON STATIONARY  SEASONAL 

Distinct350
Distinct (%)35.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean183.34211
Minimum2
Maximum366
Zeros0
Zeros (%)0.0%
Memory size15.4 KiB
2024-02-29T10:54:59.959219image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile13
Q174.75
median194
Q3287
95-th percentile351.65
Maximum366
Range364
Interquartile range (IQR)212.25

Descriptive statistics

Standard deviation114.64781
Coefficient of variation (CV)0.62532176
Kurtosis-1.396204
Mean183.34211
Median Absolute Deviation (MAD)106
Skewness-0.069579023
Sum181142
Variance13144.12
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.01957363278
2024-02-29T10:55:00.107894image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2024-02-29T10:55:00.398910image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Gap statistics

number of gaps52
min4 days
max4 weeks and 3 days
mean1 week, 5 days and 55 minutes
std1 week, 3 days and 2 minutes
2024-02-29T10:55:00.531677image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
2 26
 
2.6%
18 5
 
0.5%
364 5
 
0.5%
273 5
 
0.5%
91 5
 
0.5%
88 5
 
0.5%
20 5
 
0.5%
361 5
 
0.5%
13 5
 
0.5%
15 4
 
0.4%
Other values (340) 918
92.9%
ValueCountFrequency (%)
2 26
2.6%
3 3
 
0.3%
4 1
 
0.1%
5 1
 
0.1%
6 2
 
0.2%
7 1
 
0.1%
8 1
 
0.1%
9 4
 
0.4%
10 3
 
0.3%
11 1
 
0.1%
ValueCountFrequency (%)
366 1
 
0.1%
365 3
0.3%
364 5
0.5%
363 4
0.4%
362 4
0.4%
361 5
0.5%
360 3
0.3%
359 1
 
0.1%
358 3
0.3%
357 4
0.4%
2024-02-29T10:55:00.207944image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ACF and PACF

tempMedia
Numeric time series

HIGH CORRELATION  NON STATIONARY  SEASONAL 

Distinct723
Distinct (%)73.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.316306
Minimum8.36
Maximum28.87
Zeros0
Zeros (%)0.0%
Memory size15.4 KiB
2024-02-29T10:55:00.705480image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum8.36
5-th percentile11.717
Q114.5075
median17.17
Q322.3725
95-th percentile26.56
Maximum28.87
Range20.51
Interquartile range (IQR)7.865

Descriptive statistics

Standard deviation4.8305758
Coefficient of variation (CV)0.2637309
Kurtosis-1.0220899
Mean18.316306
Median Absolute Deviation (MAD)3.54
Skewness0.34478656
Sum18096.51
Variance23.334462
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.05802443931
2024-02-29T10:55:00.826816image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2024-02-29T10:55:01.106512image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Gap statistics

number of gaps52
min4 days
max4 weeks and 3 days
mean1 week, 5 days and 55 minutes
std1 week, 3 days and 2 minutes
2024-02-29T10:55:01.233731image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
14.63 26
 
2.6%
15.31 5
 
0.5%
26.56 5
 
0.5%
15.67 4
 
0.4%
15.24 4
 
0.4%
22.77 4
 
0.4%
13.39 4
 
0.4%
13.87 4
 
0.4%
15.42 3
 
0.3%
23.61 3
 
0.3%
Other values (713) 926
93.7%
ValueCountFrequency (%)
8.36 1
0.1%
8.87 1
0.1%
9.07 1
0.1%
9.48 1
0.1%
9.61 1
0.1%
9.77 1
0.1%
9.81 1
0.1%
9.93 1
0.1%
10.02 1
0.1%
10.04 1
0.1%
ValueCountFrequency (%)
28.87 1
0.1%
28.85 1
0.1%
28.66 1
0.1%
28.49 1
0.1%
28.2 1
0.1%
28.18 1
0.1%
28.08 1
0.1%
27.98 1
0.1%
27.89 1
0.1%
27.88 2
0.2%
2024-02-29T10:55:00.919130image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ACF and PACF

tempMax
Numeric time series

HIGH CORRELATION  NON STATIONARY  SEASONAL 

Distinct568
Distinct (%)57.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.703796
Minimum11.73
Maximum35.61
Zeros0
Zeros (%)0.0%
Memory size15.4 KiB
2024-02-29T10:55:01.407051image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum11.73
5-th percentile16.211
Q118.77
median21.66
Q326.5825
95-th percentile30.9925
Maximum35.61
Range23.88
Interquartile range (IQR)7.8125

Descriptive statistics

Standard deviation4.8255391
Coefficient of variation (CV)0.21254328
Kurtosis-0.84578224
Mean22.703796
Median Absolute Deviation (MAD)3.68
Skewness0.40404212
Sum22431.35
Variance23.285827
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.05173156197
2024-02-29T10:55:01.533610image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2024-02-29T10:55:01.821238image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Gap statistics

number of gaps52
min4 days
max4 weeks and 3 days
mean1 week, 5 days and 55 minutes
std1 week, 3 days and 2 minutes
2024-02-29T10:55:01.949829image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
19.58 29
 
2.9%
18.32 7
 
0.7%
17.78 7
 
0.7%
17.31 6
 
0.6%
25.9 5
 
0.5%
17.25 5
 
0.5%
17.05 5
 
0.5%
18.31 5
 
0.5%
23.3 5
 
0.5%
19.18 5
 
0.5%
Other values (558) 909
92.0%
ValueCountFrequency (%)
11.73 1
0.1%
12.86 1
0.1%
13.06 1
0.1%
13.8 1
0.1%
13.87 1
0.1%
13.99 1
0.1%
14.32 1
0.1%
14.59 1
0.1%
14.65 1
0.1%
14.66 1
0.1%
ValueCountFrequency (%)
35.61 1
0.1%
35.44 1
0.1%
35.41 1
0.1%
34.62 1
0.1%
34.55 1
0.1%
34.48 1
0.1%
33.95 1
0.1%
33.75 2
0.2%
33.69 1
0.1%
33.55 1
0.1%
2024-02-29T10:55:01.629318image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ACF and PACF

horMinTempMax
Real number (ℝ)

Distinct24
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.522267
Minimum0
Maximum24
Zeros4
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size15.4 KiB
2024-02-29T10:55:02.097506image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q111
median13
Q314
95-th percentile16
Maximum24
Range24
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.514499
Coefficient of variation (CV)0.20080222
Kurtosis6.0745014
Mean12.522267
Median Absolute Deviation (MAD)1
Skewness-0.65673004
Sum12372
Variance6.3227053
MonotonicityNot monotonic
2024-02-29T10:55:02.176594image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
13 212
21.5%
12 193
19.5%
14 164
16.6%
11 124
12.6%
10 87
8.8%
15 86
8.7%
16 30
 
3.0%
9 28
 
2.8%
17 13
 
1.3%
8 12
 
1.2%
Other values (14) 39
 
3.9%
ValueCountFrequency (%)
0 4
 
0.4%
1 2
 
0.2%
2 3
 
0.3%
3 5
 
0.5%
4 2
 
0.2%
5 1
 
0.1%
7 4
 
0.4%
8 12
 
1.2%
9 28
 
2.8%
10 87
8.8%
ValueCountFrequency (%)
24 1
 
0.1%
23 3
 
0.3%
22 3
 
0.3%
21 2
 
0.2%
20 1
 
0.1%
19 2
 
0.2%
18 6
 
0.6%
17 13
 
1.3%
16 30
 
3.0%
15 86
8.7%

tempMin
Numeric time series

HIGH CORRELATION  NON STATIONARY  SEASONAL 

Distinct400
Distinct (%)40.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.545278
Minimum4.949
Maximum25.3
Zeros0
Zeros (%)0.0%
Memory size15.4 KiB
2024-02-29T10:55:02.285458image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.949
5-th percentile7.68
Q110.54
median13.53
Q318.7225
95-th percentile22.998
Maximum25.3
Range20.351
Interquartile range (IQR)8.1825

Descriptive statistics

Standard deviation4.8923555
Coefficient of variation (CV)0.33635352
Kurtosis-1.0163436
Mean14.545278
Median Absolute Deviation (MAD)3.66
Skewness0.33632969
Sum14370.735
Variance23.935142
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.06784268104
2024-02-29T10:55:02.420765image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2024-02-29T10:55:02.722770image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Gap statistics

number of gaps52
min4 days
max4 weeks and 3 days
mean1 week, 5 days and 55 minutes
std1 week, 3 days and 2 minutes
2024-02-29T10:55:02.854961image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
9.87 32
 
3.2%
11.34 10
 
1.0%
11.8 10
 
1.0%
11.27 9
 
0.9%
10.67 9
 
0.9%
12.07 8
 
0.8%
20.25 8
 
0.8%
10.6 8
 
0.8%
12.34 8
 
0.8%
11.07 7
 
0.7%
Other values (390) 879
89.0%
ValueCountFrequency (%)
4.949 1
 
0.1%
5.142 1
 
0.1%
5.476 1
 
0.1%
5.81 1
 
0.1%
5.876 1
 
0.1%
6.01 2
0.2%
6.016 1
 
0.1%
6.077 3
0.3%
6.144 2
0.2%
6.21 1
 
0.1%
ValueCountFrequency (%)
25.3 1
0.1%
25.11 2
0.2%
24.9 1
0.1%
24.51 2
0.2%
24.5 1
0.1%
24.44 2
0.2%
24.38 1
0.1%
24.18 1
0.1%
24.17 2
0.2%
24.12 1
0.1%
2024-02-29T10:55:02.528336image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ACF and PACF

horMinTempMin
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.7530364
Minimum0
Maximum24
Zeros90
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size15.4 KiB
2024-02-29T10:55:02.994413image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median5
Q37
95-th percentile24
Maximum24
Range24
Interquartile range (IQR)4

Descriptive statistics

Standard deviation7.5295931
Coefficient of variation (CV)0.9711799
Kurtosis0.20051365
Mean7.7530364
Median Absolute Deviation (MAD)2
Skewness1.3009168
Sum7660
Variance56.694773
MonotonicityNot monotonic
2024-02-29T10:55:03.183338image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
5 159
16.1%
6 148
15.0%
7 102
10.3%
4 97
9.8%
0 90
9.1%
3 73
7.4%
2 65
6.6%
24 63
 
6.4%
23 53
 
5.4%
1 39
 
3.9%
Other values (9) 99
10.0%
ValueCountFrequency (%)
0 90
9.1%
1 39
 
3.9%
2 65
6.6%
3 73
7.4%
4 97
9.8%
5 159
16.1%
6 148
15.0%
7 102
10.3%
8 23
 
2.3%
14 1
 
0.1%
ValueCountFrequency (%)
24 63
6.4%
23 53
5.4%
22 36
3.6%
21 14
 
1.4%
20 9
 
0.9%
19 8
 
0.8%
18 6
 
0.6%
17 1
 
0.1%
15 1
 
0.1%
14 1
 
0.1%

humedadMedia
Real number (ℝ)

HIGH CORRELATION 

Distinct642
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.569464
Minimum24.14
Maximum95.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.4 KiB
2024-02-29T10:55:03.274251image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum24.14
5-th percentile48.204
Q160.14
median68.03
Q373.2
95-th percentile82
Maximum95.1
Range70.96
Interquartile range (IQR)13.06

Descriptive statistics

Standard deviation10.274452
Coefficient of variation (CV)0.15434181
Kurtosis0.2946623
Mean66.569464
Median Absolute Deviation (MAD)6.25
Skewness-0.41966693
Sum65770.63
Variance105.56436
MonotonicityNot monotonic
2024-02-29T10:55:03.367706image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71.7 30
 
3.0%
73.2 8
 
0.8%
71 7
 
0.7%
73.1 7
 
0.7%
71.3 7
 
0.7%
74.4 7
 
0.7%
72.5 7
 
0.7%
71.2 6
 
0.6%
71.8 6
 
0.6%
75 6
 
0.6%
Other values (632) 897
90.8%
ValueCountFrequency (%)
24.14 1
0.1%
34.65 1
0.1%
35.52 1
0.1%
36.65 1
0.1%
37.06 1
0.1%
37.91 1
0.1%
38.71 1
0.1%
39.73 1
0.1%
40.04 1
0.1%
40.1 1
0.1%
ValueCountFrequency (%)
95.1 1
0.1%
95 1
0.1%
94.5 1
0.1%
94.4 1
0.1%
92.6 1
0.1%
90.8 1
0.1%
89.1 1
0.1%
88.5 1
0.1%
87.9 2
0.2%
87.7 1
0.1%

humedadMax
Real number (ℝ)

HIGH CORRELATION 

Distinct351
Distinct (%)35.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.308462
Minimum43.59
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.4 KiB
2024-02-29T10:55:03.465361image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum43.59
5-th percentile63.965
Q180
median84.8
Q391.3
95-th percentile100
Maximum100
Range56.41
Interquartile range (IQR)11.3

Descriptive statistics

Standard deviation10.022044
Coefficient of variation (CV)0.11887353
Kurtosis0.99861295
Mean84.308462
Median Absolute Deviation (MAD)5.7
Skewness-0.84740655
Sum83296.76
Variance100.44137
MonotonicityNot monotonic
2024-02-29T10:55:03.557189image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 57
 
5.8%
82.5 11
 
1.1%
84 10
 
1.0%
83.9 10
 
1.0%
84.8 10
 
1.0%
82.9 9
 
0.9%
84.2 9
 
0.9%
90.2 9
 
0.9%
80 8
 
0.8%
87.8 8
 
0.8%
Other values (341) 847
85.7%
ValueCountFrequency (%)
43.59 1
0.1%
48.88 1
0.1%
49.07 1
0.1%
49.94 1
0.1%
50.74 1
0.1%
52.07 1
0.1%
52.52 1
0.1%
52.58 1
0.1%
53.8 1
0.1%
53.88 2
0.2%
ValueCountFrequency (%)
100 57
5.8%
99.9 1
 
0.1%
99.7 1
 
0.1%
99.6 1
 
0.1%
99.5 1
 
0.1%
99.3 2
 
0.2%
99.2 1
 
0.1%
99 1
 
0.1%
98.9 1
 
0.1%
98.8 2
 
0.2%
Distinct395
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
Minimum2024-02-29 00:00:00
Maximum2024-02-29 23:58:00
2024-02-29T10:55:03.653279image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:55:03.743361image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

humedadMin
Real number (ℝ)

HIGH CORRELATION 

Distinct843
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.09915
Minimum10.01
Maximum88.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.4 KiB
2024-02-29T10:55:03.831151image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum10.01
5-th percentile27.219
Q137.5425
median45.29
Q354.6475
95-th percentile65.9065
Maximum88.8
Range78.79
Interquartile range (IQR)17.105

Descriptive statistics

Standard deviation11.830521
Coefficient of variation (CV)0.25663208
Kurtosis-0.27459945
Mean46.09915
Median Absolute Deviation (MAD)8.52
Skewness0.098719846
Sum45545.96
Variance139.96122
MonotonicityNot monotonic
2024-02-29T10:55:03.926710image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45.05 25
 
2.5%
44.39 3
 
0.3%
35.96 3
 
0.3%
39.92 3
 
0.3%
63.54 3
 
0.3%
49.78 3
 
0.3%
33.97 3
 
0.3%
45.36 3
 
0.3%
39.05 3
 
0.3%
55.25 2
 
0.2%
Other values (833) 937
94.8%
ValueCountFrequency (%)
10.01 1
0.1%
17.81 1
0.1%
18.02 2
0.2%
18.35 1
0.1%
18.83 1
0.1%
19.02 1
0.1%
19.82 1
0.1%
19.88 1
0.1%
20.54 1
0.1%
20.96 1
0.1%
ValueCountFrequency (%)
88.8 1
0.1%
79.2 1
0.1%
78.1 1
0.1%
77.6 1
0.1%
76.9 1
0.1%
76.7 1
0.1%
76.2 1
0.1%
76 1
0.1%
73.9 1
0.1%
73.3 1
0.1%

horMinHumMin
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.816802
Minimum0
Maximum24
Zeros19
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size15.4 KiB
2024-02-29T10:55:04.016231image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q18
median10
Q313
95-th percentile21
Maximum24
Range24
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.8344258
Coefficient of variation (CV)0.44693672
Kurtosis0.69640908
Mean10.816802
Median Absolute Deviation (MAD)2
Skewness0.46767157
Sum10687
Variance23.371673
MonotonicityNot monotonic
2024-02-29T10:55:04.098527image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
10 171
17.3%
9 131
13.3%
8 97
9.8%
13 74
 
7.5%
11 60
 
6.1%
7 55
 
5.6%
12 54
 
5.5%
14 47
 
4.8%
15 40
 
4.0%
16 28
 
2.8%
Other values (15) 231
23.4%
ValueCountFrequency (%)
0 19
 
1.9%
1 17
 
1.7%
2 15
 
1.5%
3 13
 
1.3%
4 17
 
1.7%
5 21
 
2.1%
6 15
 
1.5%
7 55
5.6%
8 97
9.8%
9 131
13.3%
ValueCountFrequency (%)
24 12
 
1.2%
23 16
 
1.6%
22 20
2.0%
21 8
 
0.8%
20 12
 
1.2%
19 6
 
0.6%
18 14
 
1.4%
17 26
2.6%
16 28
2.8%
15 40
4.0%

velViento
Real number (ℝ)

HIGH CORRELATION 

Distinct775
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5280931
Minimum0.367
Maximum7.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.4 KiB
2024-02-29T10:55:04.187774image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.367
5-th percentile0.639
Q10.975
median1.3315
Q31.81075
95-th percentile3.16785
Maximum7.05
Range6.683
Interquartile range (IQR)0.83575

Descriptive statistics

Standard deviation0.84616218
Coefficient of variation (CV)0.55373732
Kurtosis6.5824332
Mean1.5280931
Median Absolute Deviation (MAD)0.3975
Skewness2.1414884
Sum1509.756
Variance0.71599044
MonotonicityNot monotonic
2024-02-29T10:55:04.277466image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.87 25
 
2.5%
1.475 4
 
0.4%
1.019 4
 
0.4%
1.166 4
 
0.4%
1.1 4
 
0.4%
1.929 4
 
0.4%
1.17 4
 
0.4%
0.877 3
 
0.3%
1.829 3
 
0.3%
1.031 3
 
0.3%
Other values (765) 930
94.1%
ValueCountFrequency (%)
0.367 1
0.1%
0.427 1
0.1%
0.451 1
0.1%
0.458 1
0.1%
0.471 1
0.1%
0.485 1
0.1%
0.494 1
0.1%
0.497 1
0.1%
0.512 1
0.1%
0.528 1
0.1%
ValueCountFrequency (%)
7.05 1
0.1%
5.91 1
0.1%
5.85 1
0.1%
5.806 1
0.1%
5.505 1
0.1%
5.36 1
0.1%
5.209 1
0.1%
5.106 1
0.1%
5.09 1
0.1%
5.084 1
0.1%

dirViento
Real number (ℝ)

Distinct800
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean223.96918
Minimum1.952
Maximum360
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.4 KiB
2024-02-29T10:55:04.373769image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.952
5-th percentile19.0515
Q1153
median258.6
Q3305.75
95-th percentile345.56
Maximum360
Range358.048
Interquartile range (IQR)152.75

Descriptive statistics

Standard deviation106.41027
Coefficient of variation (CV)0.47511123
Kurtosis-0.68931937
Mean223.96918
Median Absolute Deviation (MAD)56
Skewness-0.81336536
Sum221281.55
Variance11323.146
MonotonicityNot monotonic
2024-02-29T10:55:04.470126image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
256.6 25
 
2.5%
276.9 4
 
0.4%
359.6 3
 
0.3%
237.9 3
 
0.3%
312.2 3
 
0.3%
256.2 3
 
0.3%
258.7 3
 
0.3%
259.1 3
 
0.3%
266.7 3
 
0.3%
308.2 3
 
0.3%
Other values (790) 935
94.6%
ValueCountFrequency (%)
1.952 1
0.1%
2.44 1
0.1%
2.761 1
0.1%
2.789 1
0.1%
3.293 1
0.1%
3.38 1
0.1%
4.478 1
0.1%
4.547 1
0.1%
4.554 1
0.1%
4.629 1
0.1%
ValueCountFrequency (%)
360 1
 
0.1%
359.6 3
0.3%
359.2 1
 
0.1%
358.9 1
 
0.1%
358.3 2
0.2%
358.1 1
 
0.1%
357.9 1
 
0.1%
357.8 1
 
0.1%
357.6 1
 
0.1%
357.4 1
 
0.1%

velVientoMax
Real number (ℝ)

HIGH CORRELATION 

Distinct500
Distinct (%)50.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.3859332
Minimum1.715
Maximum15.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.4 KiB
2024-02-29T10:55:04.571796image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.715
5-th percentile2.96315
Q13.94425
median4.846
Q36.23775
95-th percentile9.736
Maximum15.34
Range13.625
Interquartile range (IQR)2.2935

Descriptive statistics

Standard deviation2.1098915
Coefficient of variation (CV)0.39174113
Kurtosis1.8405295
Mean5.3859332
Median Absolute Deviation (MAD)1.063
Skewness1.3295825
Sum5321.302
Variance4.4516424
MonotonicityNot monotonic
2024-02-29T10:55:04.674080image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.439 28
 
2.8%
4.841 6
 
0.6%
4.635 6
 
0.6%
5.459 6
 
0.6%
5.38 6
 
0.6%
3.636 6
 
0.6%
4.43 5
 
0.5%
4.802 5
 
0.5%
4.959 5
 
0.5%
5.057 5
 
0.5%
Other values (490) 910
92.1%
ValueCountFrequency (%)
1.715 1
0.1%
2.127 1
0.1%
2.156 1
0.1%
2.185 1
0.1%
2.205 2
0.2%
2.264 1
0.1%
2.303 1
0.1%
2.323 1
0.1%
2.352 2
0.2%
2.362 1
0.1%
ValueCountFrequency (%)
15.34 1
0.1%
13.54 1
0.1%
13.41 1
0.1%
13.28 1
0.1%
13.12 1
0.1%
12.96 1
0.1%
12.75 1
0.1%
12.59 1
0.1%
12.52 1
0.1%
12.51 1
0.1%

horMinVelMax
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.709514
Minimum0
Maximum24
Zeros17
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size15.4 KiB
2024-02-29T10:55:04.760603image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median13
Q315
95-th percentile22
Maximum24
Range24
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.7090581
Coefficient of variation (CV)0.48755721
Kurtosis-0.46816504
Mean11.709514
Median Absolute Deviation (MAD)3
Skewness-0.12319683
Sum11569
Variance32.593344
MonotonicityNot monotonic
2024-02-29T10:55:04.841075image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
13 113
 
11.4%
14 102
 
10.3%
15 79
 
8.0%
12 76
 
7.7%
16 67
 
6.8%
11 57
 
5.8%
6 48
 
4.9%
5 46
 
4.7%
7 37
 
3.7%
8 36
 
3.6%
Other values (15) 327
33.1%
ValueCountFrequency (%)
0 17
 
1.7%
1 29
2.9%
2 33
3.3%
3 22
2.2%
4 29
2.9%
5 46
4.7%
6 48
4.9%
7 37
3.7%
8 36
3.6%
9 19
 
1.9%
ValueCountFrequency (%)
24 18
 
1.8%
23 21
 
2.1%
22 21
 
2.1%
21 8
 
0.8%
20 14
 
1.4%
19 12
 
1.2%
18 29
 
2.9%
17 34
3.4%
16 67
6.8%
15 79
8.0%

dirVientoVelMax
Real number (ℝ)

ZEROS 

Distinct719
Distinct (%)72.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean200.91683
Minimum0
Maximum354.7
Zeros34
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size15.4 KiB
2024-02-29T10:55:04.929477image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.41225
Q1128.125
median243.2
Q3266.025
95-th percentile348.665
Maximum354.7
Range354.7
Interquartile range (IQR)137.9

Descriptive statistics

Standard deviation107.18295
Coefficient of variation (CV)0.53346923
Kurtosis-0.71395923
Mean200.91683
Median Absolute Deviation (MAD)75.9
Skewness-0.5961257
Sum198505.83
Variance11488.184
MonotonicityNot monotonic
2024-02-29T10:55:05.022051image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34
 
3.4%
0.095 11
 
1.1%
354.2 6
 
0.6%
262.3 5
 
0.5%
254.2 4
 
0.4%
353.3 4
 
0.4%
252.8 4
 
0.4%
261.9 4
 
0.4%
252.1 4
 
0.4%
235.2 4
 
0.4%
Other values (709) 908
91.9%
ValueCountFrequency (%)
0 34
3.4%
0.095 11
 
1.1%
0.19 2
 
0.2%
0.284 1
 
0.1%
0.379 2
 
0.2%
0.474 4
 
0.4%
0.568 1
 
0.1%
0.569 1
 
0.1%
0.758 1
 
0.1%
0.759 3
 
0.3%
ValueCountFrequency (%)
354.7 1
 
0.1%
354.6 4
0.4%
354.5 2
 
0.2%
354.4 1
 
0.1%
354.3 3
0.3%
354.2 6
0.6%
354.1 1
 
0.1%
353.3 4
0.4%
353.1 1
 
0.1%
352.9 2
 
0.2%

radiacion
Numeric time series

HIGH CORRELATION  NON STATIONARY  SEASONAL 

Distinct766
Distinct (%)77.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.70794
Minimum1.051
Maximum29.72
Zeros0
Zeros (%)0.0%
Memory size15.4 KiB
2024-02-29T10:55:05.139751image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.051
5-th percentile7.5005
Q111.5675
median15.72
Q322.37
95-th percentile27.263
Maximum29.72
Range28.669
Interquartile range (IQR)10.8025

Descriptive statistics

Standard deviation6.4546672
Coefficient of variation (CV)0.38632333
Kurtosis-0.90369906
Mean16.70794
Median Absolute Deviation (MAD)4.825
Skewness0.12027955
Sum16507.445
Variance41.662729
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.04578833554
2024-02-29T10:55:05.266663image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2024-02-29T10:55:05.556223image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Gap statistics

number of gaps52
min4 days
max4 weeks and 3 days
mean1 week, 5 days and 55 minutes
std1 week, 3 days and 2 minutes
2024-02-29T10:55:05.687952image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
10.39 26
 
2.6%
12.05 5
 
0.5%
11.93 4
 
0.4%
22.43 4
 
0.4%
16.49 3
 
0.3%
25.94 3
 
0.3%
26.59 3
 
0.3%
10.81 3
 
0.3%
16.46 3
 
0.3%
10.98 3
 
0.3%
Other values (756) 931
94.2%
ValueCountFrequency (%)
1.051 1
0.1%
1.904 1
0.1%
2.002 1
0.1%
2.041 1
0.1%
2.402 1
0.1%
2.585 1
0.1%
2.643 1
0.1%
2.795 1
0.1%
2.896 1
0.1%
2.955 1
0.1%
ValueCountFrequency (%)
29.72 1
0.1%
29.57 1
0.1%
29.46 1
0.1%
29.34 1
0.1%
29.1 1
0.1%
29.04 1
0.1%
29 2
0.2%
28.98 1
0.1%
28.79 1
0.1%
28.78 1
0.1%
2024-02-29T10:55:05.363767image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ACF and PACF

precipitacion
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.49534413
Minimum0
Maximum39.6
Zeros857
Zeros (%)86.7%
Negative0
Negative (%)0.0%
Memory size15.4 KiB
2024-02-29T10:55:05.843266image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.6
Maximum39.6
Range39.6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.6826356
Coefficient of variation (CV)5.4157007
Kurtosis83.064709
Mean0.49534413
Median Absolute Deviation (MAD)0
Skewness8.2835021
Sum489.4
Variance7.1965335
MonotonicityNot monotonic
2024-02-29T10:55:05.933684image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 857
86.7%
0.2 36
 
3.6%
0.4 11
 
1.1%
0.6 10
 
1.0%
0.8 8
 
0.8%
1 5
 
0.5%
1.2 5
 
0.5%
1.4 5
 
0.5%
1.6 4
 
0.4%
2 4
 
0.4%
Other values (32) 43
 
4.4%
ValueCountFrequency (%)
0 857
86.7%
0.2 36
 
3.6%
0.4 11
 
1.1%
0.6 10
 
1.0%
0.8 8
 
0.8%
1 5
 
0.5%
1.2 5
 
0.5%
1.4 5
 
0.5%
1.6 4
 
0.4%
1.8 3
 
0.3%
ValueCountFrequency (%)
39.6 1
 
0.1%
28 1
 
0.1%
26.6 1
 
0.1%
22.4 1
 
0.1%
21.2 1
 
0.1%
18 1
 
0.1%
17.4 1
 
0.1%
16.8 3
0.3%
15.8 1
 
0.1%
15.4 1
 
0.1%

bateria
Real number (ℝ)

SKEWED 

Distinct47
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.820466
Minimum12.43
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.4 KiB
2024-02-29T10:55:06.028283image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum12.43
5-th percentile12.63
Q112.7
median12.74
Q312.82
95-th percentile12.88
Maximum47
Range34.57
Interquartile range (IQR)0.12

Descriptive statistics

Standard deviation1.5422944
Coefficient of variation (CV)0.12029941
Kurtosis488.74542
Mean12.820466
Median Absolute Deviation (MAD)0.06
Skewness22.099361
Sum12666.62
Variance2.3786721
MonotonicityNot monotonic
2024-02-29T10:55:06.116715image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
12.7 75
 
7.6%
12.71 53
 
5.4%
12.74 52
 
5.3%
12.72 48
 
4.9%
12.73 47
 
4.8%
12.68 45
 
4.6%
12.76 43
 
4.4%
12.81 38
 
3.8%
12.83 38
 
3.8%
12.78 36
 
3.6%
Other values (37) 513
51.9%
ValueCountFrequency (%)
12.43 1
 
0.1%
12.46 1
 
0.1%
12.5 1
 
0.1%
12.51 2
0.2%
12.52 3
0.3%
12.53 2
0.2%
12.54 4
0.4%
12.55 1
 
0.1%
12.56 3
0.3%
12.58 3
0.3%
ValueCountFrequency (%)
47 2
 
0.2%
12.96 1
 
0.1%
12.93 3
 
0.3%
12.92 2
 
0.2%
12.91 6
 
0.6%
12.9 8
 
0.8%
12.89 16
1.6%
12.88 24
2.4%
12.87 30
3.0%
12.86 31
3.1%

Interactions

2024-02-29T10:54:55.832090image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:26.112412image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:27.718548image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:29.332713image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:30.883663image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:32.899007image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:34.517028image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:36.182582image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:37.730719image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:39.321892image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:40.895063image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:42.534789image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:44.640256image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:46.221509image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:47.828954image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:49.443893image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:50.998895image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:52.626685image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:54.207562image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:55.908377image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:26.194448image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:27.807352image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:29.405917image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:30.961094image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:32.984661image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:34.599533image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:36.261794image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:37.810691image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:39.402070image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:40.975493image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:42.609115image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:44.718493image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:46.298834image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:47.909958image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:49.520386image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:51.077163image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:52.709528image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:54.286070image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:55.992829image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:26.274409image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:27.898339image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:29.488738image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:31.051089image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:33.075647image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:34.689238image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:36.344414image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:37.901076image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:39.490980image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:41.061259image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:42.694253image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:44.802832image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:46.383641image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:47.996666image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:49.603265image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:51.163998image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:52.794729image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:54.372814image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:56.070736image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:26.346577image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:27.973893image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:29.560987image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:31.123774image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:33.152347image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:34.778393image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:36.419733image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:37.975582image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:39.565000image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:41.139450image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:42.769225image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:44.880872image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:46.461656image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:48.073553image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:49.679190image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:51.240844image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:52.869618image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:54.451981image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:56.147341image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:26.420144image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:28.056614image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:29.636064image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:31.198171image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:33.233272image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:34.860362image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:36.495758image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:38.053689image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:39.644958image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:41.219126image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:42.846188image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:44.957845image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:46.541148image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:48.153842image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:49.755351image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:51.321808image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:52.946955image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:54.531965image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:56.227055image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:26.498862image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:28.138169image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:29.713467image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:31.278276image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:33.318646image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:34.946804image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:36.575292image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:38.132658image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:39.724236image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:41.302308image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:42.925303image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:45.039854image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:46.623109image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:48.235365image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:49.834600image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:51.406410image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:53.025195image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:54.614472image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:56.315784image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:26.591382image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:28.226770image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:29.802586image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:31.364584image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:33.407598image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:35.040760image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:36.662587image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:38.223582image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:39.812701image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:41.396062image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:43.013364image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:45.127279image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:46.714376image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:48.326050image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:49.923503image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:51.512280image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:53.114273image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:54.709085image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:56.957264image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:26.669109image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:28.307477image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:29.884402image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:31.440224image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:33.489069image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:35.124813image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:36.739359image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:38.304252image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:39.892389image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:41.479883image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:43.097112image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:45.208311image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:46.795569image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:48.407685image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:50.003633image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:51.593359image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:53.193937image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:54.791252image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:57.042910image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:26.749383image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:28.390326image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:29.964231image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:31.521424image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:33.570882image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:35.211507image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:36.823690image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:38.386758image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:39.974962image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:41.565506image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:43.187080image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:45.292194image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:46.882304image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:48.497306image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:50.089691image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:51.681038image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:53.276764image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:54.876368image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:57.124327image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:26.828002image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:28.472248image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:30.043111image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:31.599272image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:33.657159image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:35.297969image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:36.905196image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:38.467450image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:40.053274image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:41.651511image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:43.808998image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:45.374630image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:46.965425image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:48.578985image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:50.171231image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:51.763332image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:53.356979image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:54.959759image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:57.212213image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:26.924498image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:28.561933image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:30.125684image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:31.686110image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:33.756105image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:35.390430image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:36.992472image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:38.553669image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:40.140134image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:41.740868image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:43.896653image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:45.463128image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:47.054837image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:48.671026image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:50.258729image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:51.852776image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:53.448167image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:55.050723image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:57.293862image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:27.004783image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:28.644943image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:30.202536image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:31.764089image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:33.842296image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:35.473642image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:37.071015image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:38.636205image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:40.219442image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:41.823278image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:43.977426image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:45.543498image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:47.137115image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:48.752941image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:50.336730image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:51.934835image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:53.528806image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:55.132879image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:57.375929image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:27.091444image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:28.729051image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:30.280698image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:31.845843image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:33.930198image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:35.560456image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:37.151295image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:38.720741image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:40.301913image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:41.912593image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:44.059005image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:45.624713image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:47.222296image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:48.838477image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:50.419580image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:52.023068image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:53.611794image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:55.218998image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:57.465323image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:27.179938image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:28.814879image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:30.366777image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:31.927977image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:34.019553image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:35.652635image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:37.233885image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:38.806797image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:40.387148image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:42.002162image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:44.142868image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:45.710343image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:47.306954image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:48.926051image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:50.504248image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:52.109264image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:53.698598image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:55.305896image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:57.552209image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:27.269725image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:28.904140image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:30.447955image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:32.010692image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:34.104133image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:35.742300image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:37.317594image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:38.893593image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:40.472246image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:42.094604image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:44.226782image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:45.798626image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:47.398147image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:49.013371image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:50.587910image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:52.195967image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:53.787577image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:55.398885image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:57.634707image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:27.352834image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:28.984403image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:30.526692image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:32.089415image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:34.182266image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:35.827182image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:37.398077image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:38.974698image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:40.550970image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:42.182681image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:44.304655image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:45.880926image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:47.479458image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:49.095956image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:50.666260image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:52.277918image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:53.867448image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:55.483583image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:57.720912image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:27.453856image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:29.071195image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:30.609547image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:32.173317image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:34.268608image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:35.918255image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:37.480406image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:39.066927image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:40.642408image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:42.271313image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:44.390651image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:45.968092image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:47.568285image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:49.185545image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:50.749617image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:52.363113image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:53.954297image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:55.571911image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:57.801724image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:27.538210image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:29.155508image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:30.689482image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:32.257330image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:34.349409image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:36.004632image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:37.562341image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:39.150480image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:40.724404image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:42.355576image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:44.470812image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:46.050714image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:47.652687image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:49.269016image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:50.831604image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:52.450244image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:54.037066image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:55.657853image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:57.889268image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:27.630454image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:29.246386image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:30.773230image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:32.815768image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:34.437088image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:36.096557image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:37.648918image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:39.239752image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:40.811544image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:42.448682image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:44.557486image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:46.138814image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:47.744560image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:49.358761image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:50.917573image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:52.541127image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:54.124884image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-29T10:54:55.748026image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Correlations

2024-02-29T10:55:06.207410image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
PricebateriadiadirVientodirVientoVelMaxhorMinHumMinhorMinTempMaxhorMinTempMinhorMinVelMaxhumedadMaxhumedadMediahumedadMinprecipitacionradiaciontempMaxtempMediatempMinvelVientovelVientoMax
Price1.000-0.402-0.226-0.029-0.078-0.0330.039-0.004-0.0110.1410.024-0.0310.0240.020-0.019-0.038-0.0780.0070.014
bateria-0.4021.000-0.137-0.0630.0300.0150.042-0.0030.057-0.0910.0700.1050.0920.2070.0980.1330.1650.0280.067
dia-0.226-0.1371.0000.1470.176-0.022-0.0810.0730.020-0.0390.0240.050-0.056-0.1180.2700.2800.319-0.079-0.071
dirViento-0.029-0.0630.1471.0000.160-0.111-0.0360.138-0.087-0.002-0.025-0.0200.019-0.199-0.242-0.238-0.2030.061-0.004
dirVientoVelMax-0.0780.0300.1760.1601.000-0.0270.0110.1110.016-0.0380.0190.0150.050-0.031-0.033-0.017-0.0050.1080.093
horMinHumMin-0.0330.015-0.022-0.111-0.0271.0000.2380.0520.1490.0160.0200.036-0.0390.0290.0410.0200.0080.1170.130
horMinTempMax0.0390.042-0.081-0.0360.0110.2381.000-0.0630.144-0.0180.0380.0720.0260.0750.0220.0350.017-0.071-0.049
horMinTempMin-0.004-0.0030.0730.1380.1110.052-0.0631.000-0.080-0.073-0.056-0.0250.087-0.166-0.179-0.161-0.1210.1850.097
horMinVelMax-0.0110.0570.020-0.0870.0160.1490.144-0.0801.0000.0660.0790.0510.1170.0490.0680.0880.0670.1430.222
humedadMax0.141-0.091-0.039-0.002-0.0380.016-0.018-0.0730.0661.0000.7560.4430.242-0.0220.1190.1410.141-0.281-0.172
humedadMedia0.0240.0700.024-0.0250.0190.0200.038-0.0560.0790.7561.0000.8200.2010.0440.1340.2080.262-0.353-0.277
humedadMin-0.0310.1050.050-0.0200.0150.0360.072-0.0250.0510.4430.8201.0000.1390.0380.0420.1420.227-0.312-0.301
precipitacion0.0240.092-0.0560.0190.050-0.0390.0260.0870.1170.2420.2010.1391.000-0.293-0.204-0.128-0.0750.1440.212
radiacion0.0200.207-0.118-0.199-0.0310.0290.075-0.1660.049-0.0220.0440.038-0.2931.0000.6420.6280.566-0.140-0.116
tempMax-0.0190.0980.270-0.242-0.0330.0410.022-0.1790.0680.1190.1340.042-0.2040.6421.0000.9690.917-0.271-0.130
tempMedia-0.0380.1330.280-0.238-0.0170.0200.035-0.1610.0880.1410.2080.142-0.1280.6280.9691.0000.973-0.243-0.100
tempMin-0.0780.1650.319-0.203-0.0050.0080.017-0.1210.0670.1410.2620.227-0.0750.5660.9170.9731.000-0.227-0.111
velViento0.0070.028-0.0790.0610.1080.117-0.0710.1850.143-0.281-0.353-0.3120.144-0.140-0.271-0.243-0.2271.0000.852
velVientoMax0.0140.067-0.071-0.0040.0930.130-0.0490.0970.222-0.172-0.277-0.3010.212-0.116-0.130-0.100-0.1110.8521.000

Missing values

2024-02-29T10:54:58.022379image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
A simple visualization of nullity by column.
2024-02-29T10:54:58.246596image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

DatePricefechadiatempMediatempMaxhorMinTempMaxtempMinhorMinTempMinhumedadMediahumedadMaxhorMinHumMaxhumedadMinhorMinHumMinvelVientodirVientovelVientoMaxhorMinVelMaxdirVientoVelMaxradiacionprecipitacionbateria
2020-01-022020-01-02862020-01-022.012.1915.321310.3901875.7085.618:3062.73131.473359.6003.99850.0007.060.012.87
2020-01-052020-01-051322020-01-055.011.8517.18128.600069.2182.518:1649.78121.8634.5545.1846326.40011.050.012.85
2020-01-062020-01-061072020-01-066.010.8416.44137.410770.6082.618:2854.59111.858350.0004.52867.30010.940.012.86
2020-01-092020-01-091222020-01-099.012.3017.44138.930771.5088.500:2448.11121.577341.6004.910810.14010.390.012.84
2020-01-102020-01-10622020-01-1010.012.5217.26118.670872.3081.021:0649.98111.6164.4784.93980.00011.040.012.88
2020-01-122020-01-12692020-01-1212.011.3616.57137.480771.1082.418:3651.20101.932331.0004.626910.53011.810.012.86
2020-01-132020-01-13722020-01-1313.010.8016.04136.945770.8084.220:0848.67101.712334.4004.46971.04311.690.012.84
2020-01-142020-01-14872020-01-1414.010.9916.65126.811866.7579.300:4639.38102.316332.4006.31114270.30011.370.012.83
2020-01-152020-01-151032020-01-1515.012.0117.06118.870864.1081.818:0844.52101.642360.0004.420619.43011.780.012.84
2020-01-162020-01-16952020-01-1616.012.5116.79109.870764.9885.718:5841.6691.115347.8003.96923343.70011.840.012.86
DatePricefechadiatempMediatempMaxhorMinTempMaxtempMinhorMinTempMinhumedadMediahumedadMaxhorMinHumMaxhumedadMinhorMinHumMinvelVientodirVientovelVientoMaxhorMinVelMaxdirVientoVelMaxradiacionprecipitacionbateria
2024-07-022024-07-021442020-03-312.014.6319.58129.87071.7100.000:0045.05100.87256.64.439130.010.390.012.7
2024-08-012024-08-011422020-03-312.014.6319.58129.87071.7100.000:0045.05100.87256.64.439130.010.390.012.7
2024-08-022024-08-021412020-03-312.014.6319.58129.87071.7100.000:0045.05100.87256.64.439130.010.390.012.7
2024-09-012024-09-011362020-03-312.014.6319.58129.87071.7100.000:0045.05100.87256.64.439130.010.390.012.7
2024-09-022024-09-021462020-03-312.014.6319.58129.87071.7100.000:0045.05100.87256.64.439130.010.390.012.7
2024-10-012024-10-011452020-03-312.014.6319.58129.87071.7100.000:0045.05100.87256.64.439130.010.390.012.7
2024-10-022024-10-021392020-03-312.014.6319.58129.87071.7100.000:0045.05100.87256.64.439130.010.390.012.7
2024-11-012024-11-011422020-03-312.014.6319.58129.87071.7100.000:0045.05100.87256.64.439130.010.390.012.7
2024-12-012024-12-011352020-03-312.014.6319.58129.87071.7100.000:0045.05100.87256.64.439130.010.390.012.7
2024-12-022024-12-021372020-03-312.014.6319.58129.87071.7100.000:0045.05100.87256.64.439130.010.390.012.7

Duplicate rows

Most frequently occurring

DatePricefechadiatempMediatempMaxhorMinTempMaxtempMinhorMinTempMinhumedadMediahumedadMaxhorMinHumMaxhumedadMinhorMinHumMinvelVientodirVientovelVientoMaxhorMinVelMaxdirVientoVelMaxradiacionprecipitacionbateria# duplicates
02020-03-311192020-03-3191.014.7617.781412.06584.6098.0023:5066.80101.100327.204.7825347.8012.2716.812.862
12020-06-22542020-06-22174.025.4533.751118.79349.9078.8000:0223.07111.426110.205.60619144.4029.000.012.852
22020-09-29632020-09-29273.021.4425.761118.59060.7382.1020:3634.5681.170277.104.11615164.9019.830.012.822
32020-12-29712020-12-29364.011.6417.05148.15746.1953.8821:2633.96141.929327.8010.05016276.9011.180.012.782
42021-03-303232021-03-3089.018.7325.901412.53457.6082.6001:3234.62141.224138.505.3801488.0015.160.012.782
52021-09-28562021-09-28271.021.9826.491418.46463.0881.9000:1242.9181.031312.203.05818.5319.930.012.762
62021-12-28792021-12-28362.015.8120.311212.142368.7095.6021:0045.7891.10311.844.61620118.2010.490.012.732
72022-03-29922022-03-2988.015.3817.911312.34387.90100.0019:2464.3392.093262.306.42911258.8010.941.212.822
82022-09-271912022-09-27270.018.9223.041414.01665.8885.2023:5235.3781.829282.506.73315270.4019.460.012.522
92022-12-27912022-12-27361.015.7221.051212.47258.4981.6017:4243.0691.66716.215.39023353.3011.250.012.712